An EV demand shift, a supplier failure, and a tariff announcement can all land on the same day, on different teams, in different systems. Aera senses changes across demand, supply, cost, and capacity; recommends actions that keep lines running and margins intact; and executes them in your systems in real time.
The data already exists in your systems. The cost lands in what happens between the data and the action.
Demand swings between powertrains faster than production plans can absorb, leaving plants over- or under-built against the market.
Distress signals sit across financial, logistics, and quality data, so a parts gap is spotted only once it has become a stoppage.
Supplier costs change faster than procurement can recalculate, and the exposure locks into committed orders before options are weighed.
Aera automates the routine decisions, augments the complex ones, and executes both in real time. Automotive & mobility teams see the payoff in five areas of the business.
Forecasts run separately for ICE, EV, and hybrid lines across models, regions, and time horizons, with divergence between powertrains flagged and production volumes and model mix adjusted as signals shift.
Supplier health is monitored for early distress, and the shortages that would cascade into a stoppage are identified first, with re-sourcing, safety stock, or expedite actions recommended by part and plant.
Supplier pricing is watched against tariffs, currency, and commodity indices, with price variance quantified and re-routing, supplier switches, or renegotiation recommended before exposure locks into committed orders.
Shared capacity is balanced continuously across ICE, EV, and hybrid lines, with conflicts from parts shortages or demand shifts resolved and model mix set by plant, shift, and time horizon.
High-frequency scheduling and sourcing decisions run without a planner in the loop, so planning and procurement teams spend their time on the calls that protect production continuity and margin.
Aera was named a Leader in the 2026 Gartner® Magic Quadrant™ for Decision Intelligence Platforms. In the companion Critical Capabilities report, Aera scored among the highest across all four use cases.
Gartner, Magic Quadrant for Decision Intelligence Platforms, David Pidsley, Carlie Idoine, Gareth Herschel, Kevin Quinn, Kjell Carlsson, 26 January 2026. Gartner, Critical Capabilities for Decision Intelligence Platforms, Carlie Idoine, David Pidsley, Kevin Quinn, Gareth Herschel, Kjell Carlsson, 27 January 2026. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates.
Prepackaged decision logic your teams can run on day one, tuned to dual-powertrain planning, fragile supplier networks, and tariff exposure.
Recommends adjusted production volumes and model mix by plant, region, and time horizon, with forecasts tailored separately to ICE, EV, and hybrid lines.
Recommends re-sourcing, safety stock, or expedite actions by part, supplier, and plant, and executes them across procurement and production systems.
Recommends procurement re-routing, supplier switches, or contract renegotiation by part and region, and executes them across procurement and finance systems.
Recommends the production schedule and model mix by plant, shift, and time horizon, balancing shared capacity across ICE, EV, and hybrid lines.
How decision intelligence handles dual-powertrain planning, supplier distress, and tariff exposure, with four Skills built for automotive & mobility.
What changes when procurement, production, and commercial decisions stop running on separate cycles.
